What you'll do
- Lead and grow a high-performing machine learning and personalization team focused on product recommendations, search, and monetization.
- Drive the technical direction and architecture for ML systems impacting user engagement and revenue.
- Manage a multidisciplinary pod including ML engineers, software engineers, product managers, and designers.
- Be a hands-on leader by reviewing code, building models, and conducting data science research to accelerate progress.
- Collaborate cross-functionally with product, design, analytics, and data teams to translate business problems into technical solutions.
What you should know
- This role offers the chance to shape the ML roadmap and culture at a company deeply invested in AI-driven product development.
- Candidates should be prepared for a fast-paced, high-impact environment where shipping and iterating quickly is prioritized.
- The position requires a balance of technical fluency and people management, including mentoring and career development.
- Applicants should be excited about using AI as a daily tool rather than a theoretical concept.
- The role involves working with complex, real-time data systems in a consumer-facing e-commerce context.
About the company
- Babylist is a leading e-commerce and content platform serving over 9 million users annually in the baby product industry.
- The company has a remote-first culture with team members across the U.S. and Canada, emphasizing fast, smart work and AI integration.
- Babylist is undergoing a fundamental shift in engineering culture centered on AI as a core part of daily workflows.
- They operate in a large, growing market with over $1 billion in annual GMV and $500 million in revenue projected for 2024.
- The company values exceptional management, work-life balance, and building products that positively impact millions of families.
Key required skills
Pythonpandasscikit-learnxgboostPyTorchAirflowMachine LearningData ScienceProduct Management